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Computational Photography for Capturing Virtual Environments

Computational Photography for Capturing Virtual Environments
用于捕捉虚拟环境的计算摄影
批准号:
311873-2013
负责人:
Lang, Jochen
金额:
$1.09万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

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中文摘要
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英文摘要
Image-based virtual environments for navigation, training and computer animation are attractive, but generating high-quality and physically plausible large environments is still beyond today's technology. Many research challenges remain, including making large image-based environments consistent despite changes in illumination during capture and displaying them afterwards under different illumination. Another major challenge is to give image-based environments some interactive physical behaviour, e.g., a response to interactive forces. Image-based virtual environments must become richer to provide these new capabilities which will enable novel applications in the computer animation industry, in mobile navigation and in security, in monitoring of assets and in simulation-based training.
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Deep Learning for Vision-based Measurement
  • 批准号:
    RGPIN-2018-04405
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    Lang, Jochen
  • 依托单位:
Deep Learning for Vision-based Measurement
  • 批准号:
    RGPIN-2018-04405
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2021
  • 负责人:
    Lang, Jochen
  • 依托单位:
Deep Learning for Vision-based Measurement
  • 批准号:
    RGPIN-2018-04405
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2020
  • 负责人:
    Lang, Jochen
  • 依托单位:
Deep Learning for Vision-based Measurement
  • 批准号:
    RGPIN-2018-04405
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2019
  • 负责人:
    Lang, Jochen
  • 依托单位:
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